Skillsoft Corp (SKIL) Fair Value & Analysis
Consumer Defensive · US · Market cap $66.2M
Fair value as of: Jun 25, 2026
Analysis
Skillsoft Corp (SKIL) currently trades at $7.08, while our model-based Fair Value estimate is $7.31 — implying the stock looks roughly 3.2% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Skillsoft Corp. provides skills management platform and associated learning solutions in the United States, Other Americas, Europe, the Middle East, Africa, and the Asia-Pacific. It operates in two segments, Talent Development Solutions and Global Knowledge. The company offers Skills Management Platform which provides organizations with subscription-based access to learning and workforce capability development tools; and Learner Platform that offers interactive and practice-based technology skill development experiences for individual learners. It also provides instructor-led training delivered in-person and virtually. In addition, the company operates Percipio, an AI-native enterprise skills management platform that is designed to enable organizations to manage workforce capabilities within one unified system, as well as integrates learning content, skills data, proficiency measurement, and administrative controls across roles, learners, and enterprise systems. It markets and sells…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.